Next Article in Journal
A Review of Community Smoke Exposure from Wildfire Compared to Prescribed Fire in the United States
Next Article in Special Issue
Does Marine Surface Tension Have Global Biogeography? Addition for the OCEANFILMS Package
Previous Article in Journal
Simulation and Analysis of the Initiation of a Squall Line within a Meiyu Frontal System in East China
Previous Article in Special Issue
Climate Change Impacts on Natural Sulfur Production: Ocean Acidification and Community Shifts
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Atmosphere 2018, 9(5), 184;

Evaluating Uncertainties in Marine Biogeochemical Models: Benchmarking Aerosol Precursors

Oak Ridge National Laboratory, Climate Change Science Institute (CCSI), Oak Ridge, TN 37831, USA
Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Chemistry Department, New Mexico Institute of Mining and Technology, Socorro, NM 87801 USA
International Arctic Research Center (IARC), University of Alaska, Fairbanks, AK 99775, USA
Department of Earth System Science, University of California, Irvine, CA 92697, USA
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA
Author to whom correspondence should be addressed.
Received: 5 April 2018 / Revised: 2 May 2018 / Accepted: 8 May 2018 / Published: 12 May 2018
(This article belongs to the Special Issue Ocean Contributions to the Marine Boundary Layer Aerosol Budget)
Full-Text   |   PDF [2766 KB, uploaded 12 May 2018]   |  


The effort to accurately estimate global radiative forcing has long been hampered by a degree of uncertainty in the tropospheric aerosol contribution. Reducing uncertainty in natural aerosol processes, the baseline of the aerosol budget, thus becomes a fundamental task. The appropriate representation of aerosols in the marine boundary layer (MBL) is essential to reduce uncertainty and provide reliable information on offsets to global warming. We developed an International Ocean Model Benchmarking package to assess marine biogeochemical process representations in Earth System Models (ESMs), and the package was employed to evaluate surface ocean concentrations and the sea–air fluxes of dimethylsulfide (DMS). Model performances were scored based on how well they captured the distribution and variability contained in high-quality observational datasets. Results show that model-data biases increased as DMS enters the MBL, but unfortunately over three-quarters of the models participating in the fifth Coupled Model Intercomparison Project (CMIP5) did not have a dynamic representation of DMS. When it is present, models tend to over-predict sea surface concentrations in the productive region of the eastern tropical Pacific by almost a factor of two, and the sea–air fluxes by a factor of three. Systematic model-data benchmarking as described here will help to identify such deficiencies and subsequently lead to improved subgrid-scale parameterizations and ESM development. View Full-Text
Keywords: biogeochemistry; benchmarking; biogenic volatile organic compounds; dissolved organic carbon; sea-air flux; marine aerosols; earth system modeling biogeochemistry; benchmarking; biogenic volatile organic compounds; dissolved organic carbon; sea-air flux; marine aerosols; earth system modeling

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Ogunro, O.O.; Elliott, S.M.; Wingenter, O.W.; Deal, C.; Fu, W.; Collier, N.; Hoffman, F.M. Evaluating Uncertainties in Marine Biogeochemical Models: Benchmarking Aerosol Precursors. Atmosphere 2018, 9, 184.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top